Amir, Adibah and Firdausthul Ahmad Sufian, Rabiatul Maisarah and Tuan Abdul Rahman, Tuan Ahmad Zahidi (2026) IoT-enabled vibration analysis for smart stingless beekeeping. In: International Conference on Electrical Engineering and Smart Solution, 29&30 September 2025, Hotel Casuarina Ipoh Perak.
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Abstract
Smart stingless beekeeping, which emphasises protection through non-invasive and data-driven monitoring has been implemented at the International Islamic University Malaysia, Gombak campus in Kuala Lumpur. This study introduces an intelligent monitoring framework for characterising the health of a stingless beehive by analysing hive vibration patterns, along with internal temperature and humidity data. Collected over a four-week period, the vibration data were processed using Fast Fourier Transform techniques to convert time-domain signals into frequency-domain representations. This enabled the precise identification of consistent vibrational signatures associated with the normal hive condition. The X-axis exhibited a mean frequency of 167.54 Hz (SD = 116.01Hz), with mean amplitudes of 0.00925 g (SD = 0.01452 g). The Y-axis showed mean frequencies of 196.48 Hz (SD = 153.83 Hz) with amplitude values of 0.00628 g (SD = 0.0085 g), while the Z-axis recorded the highest mean frequency at 294.6515 Hz (SD 139.36 Hz). The system is capable of detecting anomalies by alerting to the presence of high-frequency components, which are indicative of vertical vibration transmission induced by wind disturbance. It was noted that the amplitude was the lowest and most stable, with a mean of 0.003 g and SD of 0.000 g, suggesting very low vibration intensity in the vertical direction. These patterns were recorded under stable temperature (27.6–33.8°C) and humidity (80.73–82.50%) conditions, supporting their validity as baseline indicators of a healthy stingless beehive. The integration of Internet of Things (IoT)-enabled smart technologies into stingless bee management contributes directly to the United Nations Sustainable Development Goals related to sustainable agriculture (SDG 2).
| Item Type: | Proceeding Paper (Plenary Papers) |
|---|---|
| Additional Information: | Awarded Best Paper and Best Presenter |
| Uncontrolled Keywords: | FFT analysis; frequency domain; intelligent monitoring; non-invasive monitoring; smart stingless beekeeping; time domain |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials of engineering and construction |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering |
| Depositing User: | Adibah Amir |
| Date Deposited: | 02 Nov 2026 09:22 |
| Last Update: | 02 Nov 2026 09:22 |
| Queue Number: | 2026-10-Q5921 |
| URI: | http://irep.iium.edu.my/id/eprint/132349 |
| Indexed In: | UNSPECIFIED |
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- IoT-enabled vibration analysis for smart stingless beekeeping. (deposited 02 Nov 2026 09:22) [Currently Displayed]
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